Name
Abstract | ||
|---|---|---|
•A semantic approach to represent and validate Big Data analytics is proposed.•An OWL Ontology and SWRL rules are developed for reasoning in workflow design.•The proposal is validated with two real-world (traffic) and academic cases study.•Obtained semantized data successfully recommends and validate Big Data tasks.•We provide actual Big Data practitioners with software to enhance their analytics. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1016/j.eswa.2018.08.026 | Expert Systems with Applications |
Keywords | Field | DocType |
Ontology,Big Data analytics,Semantics,Knowledge extraction | Data science,Data mining,Ontology,Visualization,Computer science,Knowledge extraction,Analytics,Workflow,Big data,Cloud computing,Semantic data model | Journal |
Volume | ISSN | Citations |
115 | 0957-4174 | 2 |
PageRank | References | Authors |
0.45 | 16 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Cristobal Barba Gonzalez | 1 | 14 | 3.66 |
| José García-Nieto | 2 | 348 | 25.75 |
| María Del Mar Roldán García | 3 | 45 | 8.25 |
| Ismael Navas-Delgado | 4 | 51 | 9.65 |
| Antonio J. Nebro | 5 | 1118 | 54.62 |
| J. F. Aldana | 6 | 14 | 1.73 |